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008 200911s2017 th a a m 000 eng d
035 _a.b12345507
099 9 _aAIT RSPR no.CS-17-01
100 1 _aVyshnavi, Raja
245 1 0 _aApplying data mining techniques on yelp challenge dataset
260 _aPathum Thani, Thailand :
_bAsian Institute of Technology,
_c2017
300 _a1 online resource (63 p.) :
_bill.
490 1 _aResearch studies project report ;
_vno. CS-17-01
500 _aA research report submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Computer Science, School of Engineering and Technology
502 _aResearch Studies Project Report (M. Eng.) - Asian Institute of Technology, 2017
520 _aMining techniques have proven to be effective in exploring data.In my research study I want to use Data mining Techniques on the Yelp Data set.Yelp is one of the best website for users to review the local business of different categories . Users write text reviews about the business and each business have different business categories. There is an Data set challenge given by Yelp to the students to use the data in a innovative way . The problem statement of my research study is to predict the business categories of the business based on the user review. The main idea here is to apply data mining algorithms like Nave Bayes, SVM, Logistic regression, ML-KNN on the yelp data set and predict the categories from the user reviews for these classifiers formed and calculate the accuracy of the classifiers.
650 0 _aData mining
650 0 _aComputer algorithms
700 1 _aGuha, Sumanta,
_eChairperson
700 1 _aPhan, Minh Dung,
_eExamination Committee
700 0 _aChutiporn Anutariya,
_eExamination Committee
710 2 _aAsian Institute of Technology Fellowship,
_eScholarship Donor
810 2 _aAsian Institute of Technology.
_tResearch studies project report ;
_vno. CS-17-01
856 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/detail.php?q=B06996
907 _a.b12345507
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998 _b0
_c200911
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_tClick to view Abstract
_vn
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